Machine Learning Associate Advisor - HIH - Evernorth

Evernorth Health Services

Hyderabad

Hybrid

INR 2,500,000 - 4,200,000

Full time

14 days+

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Job summary

A leading health service provider located in Hyderabad is seeking a Machine Learning Associate Advisor. This role focuses on developing AI solutions and requires 8-11 years of experience in machine learning, preferably in healthcare. Candidates should have strong programming skills and a background in deep learning and NLP. Hybrid working model is available, with 3 days in-office and 2 days remote.

Qualifications

8-11 years of experience required.
Experience in the healthcare industry preferred.
Familiarity with Electronic Health Record systems and HIPAA is advantageous.

Responsibilities

Utilize Large Language Models to build transformative solutions.
Work with Product Development to develop scalable AI solutions.
Optimize existing generative AI models.
Build solutions aligned with responsible AI practices.
Work with open-source and cloud-based models to deliver enterprise-grade AI.
Optimize generative AI models for performance and efficiency.
Develop and maintain AI pipelines including data preprocessing and model evaluation.

Skills

Recommendation engines

Data pipelines

Distributed machine learning

Deep learning architectures

Natural language processing (NLP)

Programming in C/C++, Java, Python

Strong problem-solving skills

Excellent communication skills

C/C++

Java

Education

Degree in Computer Science, Artificial Intelligence, or Machine Learning

Tools

TensorFlow

PyTorch

Keras

AWS

GCP

Azure

Job description

Machine Learning Associate Advisor - HIH - Evernorth

Join to apply for the Machine Learning Associate Advisor - HIH - Evernorth role at Evernorth Health Services.

About Evernorth

Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care, we solve the problems others don’t, won’t or can’t.

Position Overview

We are looking for a Machine Learning Engineer with strong experience on LLMs and frameworks to develop GenAI/Agentic AI solutions. Good understanding of deep learning and strong programming skills are required. Full stack development expertise is a plus to evaluate new Large Language Models (LLMs) and make them available for the enterprise in a compliant and secure manner. The work you do will impact millions of customers, members, and employers that rely on Cigna every day. Extreme focus on speed to market and getting Products and Services in the hands of customers and passion to transform healthcare is key to the success of this role.

Responsibilities

Utilize Large Language Models (LLMs), Open Source, Machine Learning, and numerical programming frameworks to build transformative solutions.

Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.

Work with Product Development as a Generative Artificial Intelligence (AI) subject matter expert and architect and develop scalable, resilient, ethical AI solutions.

Build solutions that align with responsible AI practices.

Work with both open-source models (Tensorflow, PyTorch, Hugging Face Transformers) cloud solutions, internal solutions and external partners to deliver the best solutions.

Optimize existing generative AI models for improved performance, scalability, and efficiency.

Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Qualifications

Required Skills

Experience working with recommendation engines, data pipelines, or distributed machine learning.

Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Extensive experience in research with sequential modelling or generative AI, deep learning architectures, and Transformers, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs.

Programming experience in C/C++, Java, Python, computer vision, self-supervised learning, transfer learning, and reinforcement learning.

Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.

Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.

Strong knowledge of data structures, algorithms, and software engineering principles.

Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.

Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.

Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.

Possess a proactive mindset, with the ability to work independently and collaboratively in a fast‑paced, dynamic environment.

Required Experience & Education

8-11 Years of Experience

Previous experience as Machine Learning Engineer / Prompt Engineer and strong programming skills.

Experience working within the healthcare industry is desirable.

Familiarity with healthcare‑specific IT systems and industry regulations, such as Electronic Health Record systems and HIPAA, is an added advantage.

Desired Experience

Exposure to Gen AI and Cloud systems like AWS.

Location & Hours of Work

Full‑time position, working 40 hours per week. Expected overlap with US hours as appropriate.

Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH).

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization‑wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Seniority level